One method utilizes a state-of-the-art deep learning model which was compared to a traditional statistical model, while the other is based on LSTM-RNN. Both have been evaluated against basic linear and seasonal baselines. In the experiments, Know-Center and Porsche evaluate 33 different brands by predicting the number of registrations for the next month and for the year to come. The study will be published in the coming weeks in the „Journal for Information Technology“ which focuses on the topic of decision support.
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